Generation of correlation matrices

摘要

Correlation and covariance matrices representing the strength of the dependence for each pair of factors involved in a statistical experiment are always positive definite matrices. The article discusses ways to generate such matrices with or without restrictions on their elements and laws of distribution. Special attention is paid to the case when the resulting correlation matrix presents a weak correlation between pairs of factors involved in the experiment.